Multicomponent Signal Unmixing from Nanoheterostructures: Overcoming the Traditional Challenges of Nanoscale X-ray Analysis via Machine Learning
نویسندگان
چکیده
The chemical composition of core-shell nanoparticle clusters have been determined through principal component analysis (PCA) and independent component analysis (ICA) of an energy-dispersive X-ray (EDX) spectrum image (SI) acquired in a scanning transmission electron microscope (STEM). The method blindly decomposes the SI into three components, which are found to accurately represent the isolated and unmixed X-ray signals originating from the supporting carbon film, the shell, and the bimetallic core. The composition of the latter is verified by and is in excellent agreement with the separate quantification of bare bimetallic seed nanoparticles.
منابع مشابه
Image Classification via Sparse Representation and Subspace Alignment
Image representation is a crucial problem in image processing where there exist many low-level representations of image, i.e., SIFT, HOG and so on. But there is a missing link across low-level and high-level semantic representations. In fact, traditional machine learning approaches, e.g., non-negative matrix factorization, sparse representation and principle component analysis are employed to d...
متن کاملAnalysis of Hyperspectral Imagery for Oil Spill Detection Using SAM Unmixing Algorithm Techniques
Oil spill is one of major marine environmental challenges. The main impacts of this phenomenon are preventing light transmission into the deep water and oxygen absorption, which can disturb the photosynthesis process of water plants. In this research, we utilize SpecTIR airborne sensor data to extract and classify oils spill for the Gulf of Mexico Deepwater Horizon (DWH) happened in 2010. For t...
متن کاملComprehensive Analysis of Dense Point Cloud Filtering Algorithm for Eliminating Non-Ground Features
Point cloud and LiDAR Filtering is removing non-ground features from digital surface model (DSM) and reaching the bare earth and DTM extraction. Various methods have been proposed by different researchers to distinguish between ground and non- ground in points cloud and LiDAR data. Most fully automated methods have a common disadvantage, and they are only effective for a particular type of surf...
متن کاملSynthesis of Silver Nanoparticles from Spent X-Ray Photographic Solution via Chemical Rreduction
Silver metal was recovered primarily from spent X-ray photographic solution using a horizontal tube furnace. The X-Ray Diffraction (XRD) spectroscopy analysis approved almost 95 percent purity of the recovered silver metal. In the next step, the synthesis of silver nanoparticles from the recovered silver metal proceeded by using chemical reduction method. The proposed method uses e...
متن کاملSynthesis of Different Copper Oxide Nano-Structures From Direct Thermal Decomposition of Porous Copper(ΙΙ) Metal-Organic Framework Precursors
Copper oxide nanostructures have been successfully synthesized via one-step solid-state thermolysis of two metal-organic frameworks, [Cu3(btc)2] (1) and [Cu(tpa).(dmf)] (2), (btc = benzene-1,3,5-tricarboxylate, tpa = therephtalic acid = 1,4-benzendicarboxylic acid and dmf = dimethyl formamide) under air atmosphere at 400, 500, and 600°C. It has also been found that the reaction temperature pla...
متن کامل